Evolution of network relations, enterprise learning, and cluster innovation networks: the case of the Yuyao plastics industry cluster

Huang, C. Julia; Yan, Wang

doi:10.1080/09537325.2017.1297786

Cited by 31 publications

(29 citation statements)

References 33 publications

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“…Some scholars have argued that the impact of environmental regulation on enterprise innovation may not be straightforward (Chakraborty & Chatterjee, ; Claudia & Francesco, ), and that the network of relationships between enterprises also has an important impact on enterprise innovation (a similar example is the innovation ecosystem) (Huang & Wang, ). In enterprises with vertical linkages, downstream enterprises are led by environmental regulation to generate demand for green technologies, thereby stimulating the development of green technologies in upstream enterprises.…”

Section: Environmental Regulation and Ecological Innovationmentioning

confidence: 99%

Environmental Regulation and Enterprise Innovation: A Review

et al. 2020

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The impact of environmental regulation on enterprise innovation is closely related to the competitiveness of the enterprise and sustainable development of the regional economy, but existing research does not provide a consistent view. This paper summarizes the impacts of environmental regulation on enterprise innovation from the perspectives of technological innovation, product innovation, system innovation and ecological innovation. We find that the impacts of environmental regulation on enterprise innovation behaviour are complex, and that the impacts can be reflected together by the four aspects above and even by their interaction. Moreover, the impacts are not limited to the creation of new technologies, products, and systems but also include their adoption and application. In particular, whether the Porter hypothesis is true and which versions of the Porter hypothesis environmental regulation causes in enterprise innovation depend on enterprise characteristics, means of environmental regulation, and enterprises' strategic behaviours in an enterprise ecosystem. Finally, we propose five potential research directions: quantifying the degree of enterprise innovation caused by environmental regulation, the impacts of environmental regulation on sustainable economic development from an enterprise ecosystem perspective, the impacts of enterprise innovation on environmental regulation, the role of enterprise initiative in the relationship between environmental regulation and enterprise innovation, and social security issues and the integration of eliminated enterprises resulting from environmental regulation.

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Section: Environmental Regulation and Ecological Innovationmentioning

confidence: 99%

Environmental Regulation and Enterprise Innovation: A Review

et al. 2020

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“…Respecto a la existencia de distintos tipos y estructuras de redes, éstas difieren de un sector a otro como consecuencia, principalmente, de las características de la base del conocimiento, de los procesos de aprendizaje más relevantes, de las tecnologías de base, de las características de la demanda, de los vínculos fundamentales y de la dinámica de las complementariedades (Malerba, 2002), así como del tiempo de existencia de la red (Huang & Wang, 2018) Por otra parte, la literatura reconoce el carácter multidimensional que presenta el desempeño empresarial, pudiendo además medirse de diversas maneras (Bentes et al, 2012), como las meramente contables (Pekovic et al, 2020), o la propia innovación (Wang & Li-Ying, 2015). Centrándonos en la innovación y, partiendo de la base que los proyectos interorganizativos involucran a dos o más actores organizativos que trabajan juntos para crear un producto/servicio tangible en un período limitado de tiempo (Jones & Lichtenstein, 2008), el concepto de innovación adoptado en este trabajo apunta a que los nuevos productos deben ser útiles para el mercado o para la sociedad (Schumpeter, 1997;OCDE, 2005), tal y como recogen otros trabajos, entre los que destacan los de Balle et al (2019) y Khraisha & Mantegna (2020).…”

Section: ) Flexibilidadunclassified

Condiciones de las redes interorganizativas para la innovación en áreas rurales

Dias

Hoffmann

Martínez‐Fernández

2021

EARN

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The objective is to investigate which are the drivers of the formation of inter-organizational cooperation networks that contribute to the achievement of innovation performance in rural areas. Regarding the methodological aspects, the research chose Qualitative Comparative Analysis (QCA) and Content Analysis for research with the leaders of research, development and innovation networks of the most important agri-food technologies in Brazil and Spain. Our findings suggest that relevant reasons that influence the performance of the innovation are Legitimacy, Flexibility and Efficiency.

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“…Since the stability strategy of evolutionary game is anti-interference, is the stable strategy of evolutionary game when and . 3) Stability analysis of strategies between both parties: The dynamic system of the evolutionary game of information sharing between enterprise 1 and enterprise 2 is formed by the combination of equations (1) and (2).…”

Section: Whenmentioning

confidence: 99%

“…Industry cluster, a kind of carrier of regional economic development, provides a new driver force of cooperate innovation for the enterprises in the supply chain [1][2][3]. As continuously upgrading and transforming, industry cluster accelerates the speed of assembling homogeneous enterprises in the horizontal supply chain, forming relationship between upstream and downstream enterprises, and coupling into the industry cluster supply chain [4,5].…”

Section: Introductionmentioning

confidence: 99%

An Evolutionary Game Analysis of Information Sharing Behavior for Cluster Supply Chain

Yang¹,

Ju²,

Li³

2019

Proceedings of the Fourth International Conference on Economic and Business Management (FEBM 2019)

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From the perspective of evolutionary game, this paper demonstrates the internal mechanism and evolution process of information sharing among horizontal enterprises in the cluster supply chain. Our results show that the number of information sharing, the marginal benefit of information sharing, the ability of information absorption, the incentive coefficient and the penalty coefficient for "free-riding behavior" are positively promoted to the information sharing behavior of enterprises in the supply chain. However, the marginal cost and risk coefficient of information sharing have a negative impact. Based on these influencing factors and the problem existing in the information sharing, the paper puts forward some suggestions to strengthen the awareness of enterprise information sharing, improve the information absorption capacity, establish an information sharing mechanism, and promote the coordinated development of enterprises.

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Evolution of network relations, enterprise learning, and cluster innovation networks: the case of the Yuyao plastics industry cluster

Cited by 31 publications

References 33 publications

Environmental Regulation and Enterprise Innovation: A Review

Environmental Regulation and Enterprise Innovation: A Review

Condiciones de las redes interorganizativas para la innovación en áreas rurales

An Evolutionary Game Analysis of Information Sharing Behavior for Cluster Supply Chain

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